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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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arXiv
🗒How do neural networks see depth in single images?.
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arXiv
🗒Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm.
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arXiv
🗒TERMINATOR: Better Automated UI Test Case Prioritization.
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arXiv
🗒Event shape and Multiplicity dependence of Freeze-out Scenario and System Thermodynamics...
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arXiv
🗒Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual cl...
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arXiv
🗒Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning.
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arXiv
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arXiv
🗒Evaluation of 4D Light Field Compression Methods.
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arXiv
🗒Alpha MAML: Adaptive Model-Agnostic Meta-Learning.
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arXiv
🗒BEST potential in testing eV-scale sterile neutrino explanation of reactor antineutrino a...
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arXiv
🗒Randomization of Approximate Bilinear Computation for Matrix Multiplication.
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arXiv
🗒Transport-Based Neural Style Transfer for Smoke Simulations.
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arXiv
🗒AutoDispNet: Improving Disparity Estimation with AutoML.
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arXiv
🗒Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning.
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arXiv
🗒Search for anomalous electroweak production of vector boson pairs in association with two...
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arXiv
🗒Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults...
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arXiv
🗒REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning.
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arXiv
🗒Shortest Path Algorithms between Theory and Practice.
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arXiv
🗒Graph-based Semi-Supervised & Active Learning for Edge Flows.
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arXiv
🗒Search for a light charged Higgs boson decaying to a W boson and a CP-odd Higgs boson in...
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arXiv
🗒Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs.
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